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Authors: J. Tutcher ; C. Roberts and J. M. Easton

Affiliation: University of Birmingham, United Kingdom

ISBN: 978-989-8425-80-5

Keyword(s): Railways, Data exchange, Domain ontology, Data interoperability, Condition monitoring.

Related Ontology Subjects/Areas/Topics: Applications and Case-studies ; Artificial Intelligence ; Data Engineering ; Domain Analysis and Modeling ; e-Business and Interoperability Issues ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Symbolic Systems

Abstract: Railway networks comprise a large number of information systems, many of which are implemented by different stakeholders according to different design requirements, and in different ways. Owing to the safety-critical nature of these systems, data is rarely shared across boundaries, and the potential for re-use of information is lost. Using ontology, it is hoped that information from these systems can be extracted and shared, in order to facilitate better operational decision-making. This paper examines the aspects of data re-use likely to benefit the industry, and describes a railway condition monitoring ontology that is being designed in conjunction with several industrial stakeholders to improve operational efficiency.

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Paper citation in several formats:
Tutcher, J.; Roberts, C. and M. Easton, J. (2011). INTEGRATING RAILWAY MAINTENANCE DATA - Development of a Semantic Data Model to Support Condition Monitoring Data from Multiple Sources.In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011) ISBN 978-989-8425-80-5, pages 442-444. DOI: 10.5220/0003661404420444

@conference{keod11,
author={J. Tutcher. and C. Roberts. and J. M. Easton.},
title={INTEGRATING RAILWAY MAINTENANCE DATA - Development of a Semantic Data Model to Support Condition Monitoring Data from Multiple Sources},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)},
year={2011},
pages={442-444},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003661404420444},
isbn={978-989-8425-80-5},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)
TI - INTEGRATING RAILWAY MAINTENANCE DATA - Development of a Semantic Data Model to Support Condition Monitoring Data from Multiple Sources
SN - 978-989-8425-80-5
AU - Tutcher, J.
AU - Roberts, C.
AU - M. Easton, J.
PY - 2011
SP - 442
EP - 444
DO - 10.5220/0003661404420444

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